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Time Business News
4 days ago
- Business
- Time Business News
Data-Driven Strategies To Increase B2B Sales
The B2B business environment has become hyper-competitive. Sales of any product or service no longer depend solely on the quality and persistence of sales representatives. Then, how to increase the sales of B2B? What makes a business survive in this hyper-competitive market? It is data that makes a business boost its B2B sales. Modern B2B buyers are more advanced and informed, and sales cycles are becoming increasingly complex. There is no longer a way to get it out than data-driven strategies that give real-time insights, customized buyer journeys, and predictions for forecasting. If you want to increase your B2B sales, stick with this article, as it provides all the necessary information you need to succeed. Businesses are struggling due to continuously declining sales and increasing market competition. It is crucial for businesses to adopt the right data-driven strategies to boost B2B sales and achieve sustained success. Decreasing sales are the first symptom of a business's demise. A struggling business has an opportunity to be elevated through the following data-driven strategies to boost B2B sales. If you are serious about your business, you should read this article carefully. There are several key strategies to achieve this effectively and boost a business's sales. Let's have a look at them. A culture of data literacy is crucial to establish within your sales team. Train representatives to interpret and utilize data in decision-making, effectively use dashboards and CRM tools, and encourage transparency and collaboration; these are the terms that foster a data-driven sales culture. To segment the homogeneous B2B marketers, use firmographics, behavioral data, and technographic data. It enables you to custmize your messaging and prioritize accounts. Zoominfo and Lusha are the tools used for firmographic insights. Clearbit is used for enrichment and segmentation, while LinkedIn Sales Navigator is utilized for targeted prospecting. To prioritize sales efforts, use predictive analytics that rely on lead scoring. Traditional models are used for static criteria, such as job title or company size. The predictive models are used to analyze historical data and predict whether leads will convert into sales. You can do many things with it. You can implement tools like HubSpot, Salesforce Einstein, or LeadSpace and adjust your outreach efforts based on lead scores. Intend data is used to time your outreach. This shows you which companies are researching solutions like yours. Sources of intend data are third-party providers like Bombora or Demandbase, on-site behavior such as content downloads, and email and ad engagement metrics. To identify bottlenecks, improve stage-to-stage conversion rates, and test and optimize sales messaging, optimizing the sales funnel is crucial with the help of funnel analytics. The data on funnel metrics, such as time-in-stage, deal velocity, and conversion rates per sales representative or territory, allows managers to coach sales representatives and address issues quickly. Data from your CRM, marketing automation, and engagement tools allows you to personalize outreach to a nearly 1-to-1 level. As the generic emails don't work. To do that effectively, customize your pitch to their role, goals, or pain points, mention funding events and recent company names, and offer reference-specific content. What matters needs to be measured to improve results. Sales performance data helps you to identity areas for improvement. Key metrics to track are call-to-meeting ratio, average deal size, win/loss rate, sales velocity, and email engagement rates. B2B sales success is highly damaged by the disconnection between marketing and sales. Utilize shared data to align both teams and ensure the identification, nurturing, and closure of leads. But the question is, how to do it? There are some things to keep in mind. Define shared MQL and SQL criteria. (marketing qualified lead and sales qualified lead) Integrate the marketing automation systems and CRM. Usage of a unified dashboard to track the lead journey. To maximize the ROI and minimize the fraction, working together on the same project is necessary for both teams. Assuming that the plan or thing will work is wrong. Always go for testing. Use A/B testing to refine your sales strategies, customer connections, call scripts, and outreach based on real-world results. There are some ideas to test, such as call openers, subject lines for cold emails, CTA placement in follow-ups, demo offer, and consultations. Obtain the results and analyze your sales strategies to improve accordingly. The most advanced forecasting modules, including historical sales data, seasonality patterns, pipeline health, and deal stages, as well as AI-based predictive models, are ideal for accurately forecasting sales using historical real-time data. This helps businesses make informed strategic decisions, avoid surprises, and achieve revenue targets more consistently. Yes, the packaging is somehow effective for increasing sales. Businesses are impressed by the premium packaging of our products. A good and top-notch packaging builds a sense of trust for your business, and other businesses are more likely to do business with you. Your sales get a boost and your revenue increases, which is essential for the survival of your business. Instant Custom Boxes is one of the most trustworthy and authorized packaging partners that manufactures high-end magnetic closure rigid boxes at wholesale rates, with no order limit, in the fastest turnaround time, and with a free shipping facility. Besides this, it never compromises the quality of product packaging and increases your B2B sales. The gap between the high performers and average teams is continuously increasing. Data is the dividing line between these two. The data-driven strategies we mentioned above for increasing B2B sales are also effective for boosting your product sales. What can your business do by adopting these strategies? You can target the right accounts more effectively and efficiently, scale the personalized outreach, prioritize leads and opportunities effectively, and optimize every stage and level of the sales process of all products. Intelligent use of data is your competitive advantage in building your first sales engine, whether you are an enterprise trying to scale or a startup. Now, don't waste your time; adopt the most ideal data-driven strategies to increase B2B sales and transform your business in line with the advanced marketplace. TIME BUSINESS NEWS
Campaign ME
11-02-2025
- Business
- Campaign ME
Predictions 2025: The year ahead for upskilling through AI and data
Under the UAE's National AI Strategy 2031 and Saudi Vision 2030, the region will continue moving towards digital transformation and upskilling across wide sectors, with artificial intelligence (AI) remaining the biggest driver for this transformation. The best depiction of the status of AI use in the market is memes. The one that comes to mind is the ketchup sauce being drizzled in the sandwich, on the sandwich after wrapping it, on the box after it's closed, on the plastic bag before being handed to the customer, and to finish off the job, on the customer after taking the bag. While funny, it is very true. Companies are rushing to squeeze AI into everything whether it is effective or not. In the region we have seen AI-infused initiatives that enable brands to deliver hyper-personalised experiences, automate repetitive tasks and gain deeper insights through data analytics. Moving forward, in 2025, upskilling to bridge emerging gaps is fundamental with the reduced barrier of entry for AI tools, increased complexities for AI-driven apps and the plethora of AI choices. Upskilling AI literacy and technical proficiency A main area to focus on is AI literacy – grasping how AI models function in general (unlocking the power of AI is a good place to start) and in specific (select AI-driven software and applications). For example, platforms such as Salesforce Einstein offer sophisticated customer segmentation and predictive analytics, but many marketers find it challenging to use most of these tools or even interpret the findings, missing opportunities for valuable actionable insights. Challenges in AI technology integration AI technology integration presents its own set of challenges. While plenty of AI systems, such as chatbot Drift, integrate smoothly with customer relationship management (CRM) systems, the functionality of the chatbot remains under the control of the operator to align properly with marketing goals. A certain level of technical proficiency and some behavioural psychology skills to tailor responses are needed. Without proper optimisation of the customer experience (CX) and evaluating if AI tools have a space in this optimisation, companies risk deploying fragmented or ineffective AI solutions. Upskilling data analytics Data analytics skills tend to be a weakness in the field, with high dependency on automated software that caters to the masses rather than to a specific business. Deep knowledge of tools such as Google Analytics 4 or Tableau are great for deeper business-related insights and are ideal for meeting new privacy regulations that tend to limit access to third-party data. Navigating data privacy and ethics The changing landscape of data protection laws in the region, the UAE's Personal Data Protection Law (PDPL) and Saudi Arabia's PDPL, focus on consent, data localisation and privacy. Staying updated with data privacy and ethics is important to shape strategic marketing. Tools such as OneTrust assist in managing consent banners, but effectively utilising such platforms demands specific compliance expertise. The phasing out of third-party cookies has increased the importance of managing first-party data, putting more weight on data analytical skills. As for ethics, marketers need to prioritise the ethical collection and management of customer data through platforms such as HubSpot. For instance, a loyalty programme must ensure that all customer data adheres to local laws and that consumers have complete control over their data preferences, providing clear consent and options to opt out of communications such as SMS and emails. The shift to contextual targeting Moreover, programmatic advertising strategies need to pivot towards contextual targeting to stay effective and compliant. Tools such as Google Ads Manager facilitate privacy-safe campaigns by concentrating on the context of content rather than user behaviour across the internet. For example, an automotive brand in Saudi Arabia could utilise contextual targeting to place ads on car review sites instead of depending on behavioural tracking. Marketing mix modelling As detailed tracking becomes less available, models such as marketing mix modelling (MMM) allow marketers to assess campaign ROI using aggregated data. Having advanced analytics skills is essential for measuring marketing performance in this privacy era. A healthcare brand in the UAE might leverage Tableau or Fivetran to gather and analyse data from both digital and offline channels, ensuring compliance while gaining valuable insights. The shifting grounds of technology and regulation are putting pressure on companies to bridge the skill gaps brought about by the transition. It is essential to implement upskilling initiatives in 2025. These initiatives should emphasise the practical use of AI, data analytics and compliance, ensuring that marketers are prepared to thrive in the region's fast-changing environment. Action can start simply with allocating time for AI investigations, research and practice, and expand to scheduled company-wide workshops delivered by institutes and educational bodies or be at a much larger scale with international tech leaders and collaborations with UAE's National AI Strategy 2031 and Saudi Vision 2030. Regardless of the route chosen, join the transformation in the marketing landscape of the Middle East. By Hiba Hassan, Head of the Design and Communications department, SAE Dubai
